School of Engineering

B.Tech. in Machine Learning is a 4-year undergraduate program that teaches students fundamental computer science principles as well as specialized abilities in machine learning algorithms, data analysis, and artificial intelligence (AI). The curriculum usually incorporates programming, data structures, mathematics, and fundamental machine learning concepts like supervised and unsupervised learning, neural networks, and deep learning. Labs, projects, and internships provide students with practical knowledge as they prepare for careers in data science, AI development, robotics, and other fields. Graduates are well-prepared to work in industries such as banking, healthcare, and technology, or to pursue additional studies in AI and machine learning.

 

Bachelor of Technology (B.Tech.) in Data Science is a 4-year undergraduate program that equips students with skills in data analysis, machine learning, artificial intelligence, and big data management. This course combines technical and analytical training, including programming languages like Python and R, statistical methods, and data visualization techniques to prepare graduates for the growing demand in data-driven industries. Throughout the program, students learn to process, analyze, and interpret complex data sets, turning raw data into actionable insights. Graduates find career opportunities as data scientists, data engineers, and business analysts across various sectors, including technology, finance, and healthcare.

The innovative 4-year undergraduate Bachelor of Engineering (B.E.) in Artificial Intelligence & Machine Learning curriculum focuses on quickly developing fields of AI and ML. In addition to covering basic computer science concepts, this extensive course covers more specialized areas including computer vision, deep learning, neural networks, and natural language processing. To obtain real-world experience, students work on practical projects, create algorithms, handle real-world datasets. Courses on ethics in data science, robotics, artificial intelligence are frequently included in curriculum. Graduates are ready for jobs in software development, data analytics, machine learning engineering, and artificial intelligence research. With plenty of opportunity for additional specialization through postgraduate courses or industry certifications, they can pursue positions with tech giants, startups, or research organizations.

B.Tech in Computer Science and Engineering with specialization in Internet of Things and Blockchain (CSE-IOTBC) is a comprehensive 4-year undergraduate program designed to equip students with a solid foundation in computer science, coupled with cutting-edge technologies in IoT and blockchain. The course covers core subjects such as data structures, algorithms, computer networks, and programming, alongside specialized modules on IoT architecture, sensor networks, blockchain technology, smart systems, and data security. Students gain hands-on experience through projects, workshops, and internships, preparing them for roles in the rapidly evolving fields of IoT, blockchain, and software development. The program is ideal for individuals seeking careers in smart technologies, digital transformation, and innovative solutions across various industries.

 M.Tech. in Data Science is a 2-year postgraduate program designed to equip students with advanced knowledge and skills in data analytics, machine learning, and big data technologies. This course covers various aspects such as data mining, statistical analysis, data visualization, and artificial intelligence, preparing students for roles in industries like IT, finance, healthcare, and e-commerce. The curriculum includes a blend of theoretical knowledge and practical experience, with hands-on training on industry tools and techniques. Students also work on real-time projects and case studies to develop problem-solving abilities. Upon completion, graduates can pursue career opportunities as data scientists, analysts, engineers, or researchers, contributing to data-driven decision-making processes in organizations.

 M.Tech. in Artificial Intelligence (AI) is a postgraduate program designed to equip students with advanced knowledge and skills in AI technologies. Typically spanning 2 years, this course covers a wide range of topics including machine learning, deep learning, natural language processing, computer vision, robotics, and data science. Students engage in both theoretical studies and practical applications, preparing them for careers in AI research, development, and implementation across various industries such as healthcare, finance, and technology. The curriculum includes core subjects, electives, and hands-on projects, fostering problem-solving abilities and innovation. By the end of the program, graduates are ready to tackle complex challenges in AI and contribute to the rapidly evolving field.

 M.Tech. in Mechatronics is a multidisciplinary postgraduate program that integrates principles from mechanical engineering, electronics, computer science, and control systems. Designed for a duration of 2 years, this course equips students with advanced knowledge and skills in robotics, automation, microprocessors, and intelligent systems. It emphasizes practical learning through laboratory experiments, projects, and industry internships, preparing graduates to solve complex engineering challenges. With applications in industries such as automotive, aerospace, manufacturing, and healthcare, mechatronics professionals are in high demand globally. The curriculum includes modules on advanced robotics, embedded systems, sensor technology, and artificial intelligence, fostering innovation and research capabilities. Graduates can pursue careers as robotics engineers, automation specialists, or researchers in cutting-edge technological domains.

M.Tech. in Machine Learning is a specialized postgraduate program designed to equip students with advanced skills in machine learning, artificial intelligence, and data science. Typically spanning 2 years, the course covers core subjects such as statistical learning, deep learning, reinforcement learning, natural language processing, and algorithm design. Students gain hands-on experience in building models, data analysis, and implementing machine learning algorithms across various domains like healthcare, finance, and robotics. The program is ideal for individuals aiming for careers as data scientists, AI researchers, or machine learning engineers. Admission requirements usually include a background in computer science or related fields, and graduates are well-prepared to tackle complex problems in industries increasingly driven by AI and automation.

 B.E. in Mechatronics, typically completed in 4 years, integrates mechanical, electrical, and computer engineering principles to design intelligent systems and automation. Core courses include Mechanical Systems, Microcontrollers and Embedded Systems, Control Systems, Robotics, Sensors and Actuators, Circuit Design, Digital Signal Processing, and Manufacturing Technology. The program combines theoretical knowledge with hands-on experience through labs, projects, and internships in industries such as robotics, automation, and electronics. Students develop expertise in designing and optimizing mechatronic systems for various applications. Graduates can pursue careers in robotics, automation, manufacturing, automotive industries, and product design, with opportunities in both research and development.

M.E. in Mechatronics, usually completed in 2 years, combines mechanical, electrical, and computer engineering to create advanced automated systems. Core courses include Advanced Robotics, Control Systems, Microcontrollers and Embedded Systems, Sensors and Actuators, Automation and Manufacturing Systems, Mechatronic System Design, and Signal Processing. The program stresses theoretical knowledge and practical skills through projects, research, and internships in fields such as robotics, automation, and electronics. Students acquire experience designing intelligent systems for applications such as robotics, automobiles, and consumer electronics. Graduates can pursue professions in robotics, automation, product development, and R&D in a variety of industries. A thesis or capstone project is usually needed.
 

B.E. in Food Technology, which normally takes 4 years to finish, concentrates on the science and engineering of food processing, preservation, and packaging. Core subjects include Food Chemistry, Food Microbiology, Food Processing Techniques, Food Engineering, Quality Control and Assurance, Nutrition, Food Safety and Regulations, and Packaging Technology. The program combines academic understanding and practical applications, providing hands-on experience through labs, projects, and internships in the food industry. Students acquire experience in the creation of safe, nutritional, and environmentally friendly food products. Graduates can work in food manufacturing, quality control, product development, research, and regulatory agencies, with opportunities available both domestically and internationally.

M.E. in Food Technology normally takes 2 years to complete and focuses on advanced principles of food processing, preservation, and quality control. Core courses include Advanced Food Engineering, Food Processing Techniques, Food Safety and Hygiene, Food Microbiology, Food Quality Management, Food Biotechnology, Packaging Technology, and Nutritional Science. The program integrates academic knowledge with hands-on experience through research projects, laboratory work, and internships in the food sector. Students gain experience in producing creative, safe, and sustainable food products. Graduates can work in food production, quality assurance, R&D, food regulations, or academics, collaborating with food firms, regulatory organizations, and research institutions.